Design and Practical Implementation of Internet-Based Predictive Control of a Servo System

This brief discusses the design and practical implementation of an Internet-based predictive control strategy. This novel control strategy can compensate for the random network delay and data dropout in an active way. In order to test the performance of the proposed control scheme, the offline simulation and practical implementation of an Internet-based servo control system are carried out. At the same time, the stability of the control scheme is also studied. The simulation and experimental results illustrate the feasibility and efficiency of the proposed Internet-based predictive control scheme.

[1]  Asok Ray,et al.  An observer-based compensator for distributed delays , 1990, Autom..

[2]  Marko Bacic,et al.  Model predictive control , 2003 .

[3]  James Aweya,et al.  Design and stability analysis of a rate control algorithm using the Routh-Hurwitz stability criterion , 2004, IEEE/ACM Transactions on Networking.

[4]  Linda Bushnell,et al.  Stability analysis of networked control systems , 2002, IEEE Trans. Control. Syst. Technol..

[5]  P.L. Tang,et al.  Ethernet-based predictive control of an industrial hydraulic machine , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[6]  Heinz Schättler,et al.  Time-stamped model predictive control: an algorithm for control of processes with random delays , 2004, Comput. Chem. Eng..

[7]  Panos J. Antsaklis,et al.  Stability of model-based networked control systems with time-varying transmission times , 2004, IEEE Transactions on Automatic Control.

[8]  P. Marti,et al.  Control loop performance analysis over networked control systems , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[9]  Lee H. Eccles Smart sensor bus for data acquisition , 1996 .

[10]  Shuzhi Sam Ge,et al.  Analysis and synthesis of switched linear control systems , 2005, Autom..

[11]  Mansoor Shafi,et al.  Quick Simulation: A Review of Importance Sampling Techniques in Communications Systems , 1997, IEEE J. Sel. Areas Commun..

[12]  M. Fragoso,et al.  Stability Results for Discrete-Time Linear Systems with Markovian Jumping Parameters , 1993 .

[13]  Guo-Ping Liu,et al.  NETWORKED PREDICTIVE CONTROL OF SYSTEMS WITH RANDOM COMMUNICATION DELAY , 2004 .

[14]  Panos J. Antsaklis,et al.  MODEL-BASED NETWORKED CONTROL SYSTEMS – NECESSARY AND SUFFICIENT CONDITIONS FOR STABILITY , 2002 .

[15]  Guo-Ping Liu,et al.  Design and implementation of networked predictive control systems , 2005 .

[16]  Tongwen Chen,et al.  A new method for stabilization of networked control systems with random delays , 2005 .

[17]  Graham C. Goodwin,et al.  A moving horizon approach to Networked Control system design , 2004, IEEE Transactions on Automatic Control.

[18]  Panos J. Antsaklis,et al.  Guest Editorial Special Issue on Networked Control Systems , 2004, IEEE Trans. Autom. Control..

[19]  John Baillieul,et al.  Robust quantization for digital finite communication bandwidth (DFCB) control , 2004, IEEE Transactions on Automatic Control.

[20]  Peter F. Al-Hokayem Stability Analysis of Networked Control Systems , 2003 .

[21]  Ren C. Luo,et al.  Development of a multi-behavior based mobile robot for remote supervisory control through the Internet , 2000 .